Region mask. To better understand the proposed region mask, here we perform two experiments.
First, the region mask operation is substituted by the Precise RoI-pooling [1]} to select features from last frame. We pool the candidate features from top-3 scored predicted boxes after non-maximum suppression. Pooled features are then fused by averaging, as shown in Table REF , the EAO score drops to 0.301.
Second, we detach the gradient of candidate boxes on search region when generating the regional mask. In this form, the regional mask lost the ability to implicitly penalize the intermediate tracking errors. As the RM(D) option shown in Table REF , the EAO score drops from 0.346 to 0.322.
<TABLE><TABLE>